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Real Estate

Open Source Cowork for Real Estate

Eigent helps real estate teams draft listings, research markets, manage client communications, and prepare transaction documents — so agents close more deals, faster.

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Eigent AI
Workspace
ContextLocal
Scheduled
Dispatch
New
Create a mock bank transfer CSV file
What are the top AI trends in 2025
Draft a blog post on agent automation
Summarize Q3 product feedback survey
Research competitor pricing strategies
Generate weekly report for the team
Total: 108.9K

Create a mock bank transfer CSV file include 10 columns and 10 rows. Read the generated CSV file and summarize the data, generate a chart to visualize relevant trends or insights from the data.

Worked for 0s
Preparing agent·2 Registered
CAMEL Agent·File Toolkit · Write to file
TodoToolkit·Todo_write
Writing mock bank transfer data to CSV file...
File Toolkit·Write to file
CAMEL Agent·File Toolkit · Read file
File Toolkit·Read file
Parsing CSV contents and verifying column structure...
TodoToolkit·Todo_write
CAMEL Agent·File Toolkit · Write to file
Terminal Toolkit·Shell exec
Generating markdown report with data summary...
File Toolkit·Write to file
CAMEL Agent·Terminal Toolkit · Shell exec
Screenshot Toolkit·Read image
Rendering chart visualization from bank transfer data...
Terminal Toolkit·Shell exec
Ask a follow-up
Support Any Model you like
Single Agent
Single Agent
Progress4
Create mock bank transfer CSV with 10 columns
Read and verify the CSV file contents
Summarize the data in a written report
Generate a chart to visualize relevant trends
Execution Context

Track skills, MCPs and referenced files used in this task.

Agent Folder

Files the agent writes or updates during this task appear here so you can open them.

bank_transfers.csv
analysis_report.md
bank_transfer_chart.png
Home
Eigent AI
Workspace
ContextLocal
Scheduled
Dispatch
New
Create a mock bank transfer CSV file
What are the top AI trends in 2025
Draft a blog post on agent automation
Summarize Q3 product feedback survey
Research competitor pricing strategies
Generate weekly report for the team
Total: 108.9K

Create a mock bank transfer CSV file include 10 columns and 10 rows. Read the generated CSV file and summarize the data, generate a chart to visualize relevant trends or insights from the data.

Worked for 0s
Preparing agent·2 Registered
CAMEL Agent·File Toolkit · Write to file
TodoToolkit·Todo_write
Writing mock bank transfer data to CSV file...
File Toolkit·Write to file
CAMEL Agent·File Toolkit · Read file
File Toolkit·Read file
Parsing CSV contents and verifying column structure...
TodoToolkit·Todo_write
CAMEL Agent·File Toolkit · Write to file
Terminal Toolkit·Shell exec
Generating markdown report with data summary...
File Toolkit·Write to file
CAMEL Agent·Terminal Toolkit · Shell exec
Screenshot Toolkit·Read image
Rendering chart visualization from bank transfer data...
Terminal Toolkit·Shell exec
Ask a follow-up
Support Any Model you like
Single Agent
Single Agent
Progress4
Create mock bank transfer CSV with 10 columns
Read and verify the CSV file contents
Summarize the data in a written report
Generate a chart to visualize relevant trends
Execution Context

Track skills, MCPs and referenced files used in this task.

Agent Folder

Files the agent writes or updates during this task appear here so you can open them.

bank_transfers.csv
analysis_report.md
bank_transfer_chart.png

Real estate teams trust Eigent for Agentic Solutions across their transaction workflows

AWS
Booking.com
HSBC
Tencent
Baidu
Imperial College London
University of Oxford
ETH Zurich
University of Chicago
CUHK
KAUST
Eigent
AWS
Booking.com
HSBC
Tencent
Baidu
Imperial College London
University of Oxford
ETH Zurich
University of Chicago
CUHK
KAUST
Eigent

Eigent runs automated tasks through
Non-intrusive IntegrationNon-intrusive Integration, offering AdaptableAdaptable, Ever-improving PerformanceEver-improving Performance for any scenario.

Home
Eigent AI
Workspace
ContextLocal
Scheduled
Dispatch
New
Research the latest AI market trends
What are the top AI trends in 2025
Draft a blog post on agent automation
Summarize Q3 product feedback survey
Research competitor pricing strategies
Generate weekly report for the team

Cowork with Single AgentCowork with Workforce

Describe a task for your agents…
Support Any Model you like
Single AgentWorkforce
Research the latest AI market trends and summarize key insights
Create a weekly status report from my project notes
Analyze competitors and suggest positioning strategies
Instructions
Memory
Total: 8.3K

Research the latest AI market trends and summarize key insights

Worked for 0s
Preparing workforce·4 Registered
Browser Agent·Web Toolkit · Search web
Web Toolkit·Search web
Searching for recent AI market trend reports and industry data...
Web Toolkit·Read page
Document Agent·File Toolkit · Write to file
File Toolkit·Read file
Synthesizing collected data into a structured market insights report...
File Toolkit·Write to file
Ask a follow-up
Support Any Model you like
Workforce
Workforce
Agent Pool4
Browser Agent
Terminal Agent
Multi-modal Agent
Document Agent
Progress2
Search for latest AI market trend reports
Synthesize findings into a written report
Execution Context

Track skills, MCPs and referenced files used in this task.

Agent Folder

Files the agents write or update during this task appear here.

ai_market_sources.md
ai_market_report.md

Write Compelling Property Listings in Minutes

Eigent generates professional property descriptions optimized for search and formatted for MLS, your website, and marketing channels — consistent quality across every listing.

Research Markets and Comparable Properties

Eigent pulls and summarizes market data, recent sales, and neighborhood trends to support pricing decisions and client conversations — without hours of manual research.

Manage Client Communications Without Dropping the Ball

Draft follow-up emails, update clients on transaction milestones, and maintain consistent communication across your entire pipeline — even during high-volume periods.

Prepare and Review Transaction Documents

Eigent checks contracts for missing fields, flags unusual terms, and organizes closing documents — reducing errors and delays that can derail transactions at the last minute.

Enterprise

Purpose-built for Enterprise Scale

Eigent is designed from the ground up for enterprise security and compliance requirements.

SOC 2 Type II

Annual third-party audit of security controls and data handling practices.

ISO/IEC 27001

International standard for information security management systems.

GDPR Compliant

Full compliance with European data protection and privacy regulations.

HIPAA Compliant

Healthcare data protection standards for secure handling of sensitive information.

Frequently Asked Questions

What is Eigent and how does it help real estate professionals?

Eigent is an open-source agentic cowork platform that lets AI agents operate real estate tools — CRMs, MLS platforms, document management systems, and email — like a skilled transaction coordinator or marketing assistant. For agents and brokerages, this means automating listing content, market research, client communications, and document preparation.

Can Eigent write property listing descriptions?

Yes. Eigent generates MLS-ready property descriptions, marketing copy, and social media posts for any property type. It follows your preferred style and highlights the features that matter most based on comparable listings and market positioning.

Does Eigent integrate with MLS systems or real estate CRMs like Follow Up Boss?

Yes. Eigent integrates with major real estate CRMs including Follow Up Boss, Salesforce, and kvCORE. It can also work with MLS data and tools like Dotloop and DocuSign for transaction document workflows.

How does Eigent help real estate agents manage client pipelines?

Eigent monitors your deal pipeline, drafts timely follow-up communications, and flags clients who have gone quiet. It can also generate personalized market updates and property recommendations for active buyers and sellers in your pipeline.

Is client data secure when using Eigent for real estate?

Yes. Eigent supports local-first deployment where client contact information and transaction details remain within your infrastructure. All cloud deployments include end-to-end encryption and comply with data protection standards.

Can Eigent help with real estate transaction document management?

Yes. Eigent can organize transaction documents, check contracts for completeness, flag missing signatures or expiring contingency deadlines, and prepare closing document packages — reducing the coordination burden on agents and transaction coordinators.

Open Source Cowork Desktop

100 % open source — hébergez-le vous-même, gratuitement, avec vos propres clés API ou des modèles locaux.

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Nouvelle version d’Eigent 1.0 publiée !download